Markov brains: A technical introduction A Hintze, JA Edlund, RS Olson, DB Knoester, J Schossau, L Albantakis, ... arXiv preprint arXiv:1709.05601, 2017 | 57 | 2017 |
MABE (Modular Agent Based Evolver): A framework for digital evolution research C Bohm, N C G, A Hintze Proceedings of the European Conference on Artificial Life 14, pp. 76-83, 2017 | 48* | 2017 |
The evolutionary buffet method A Hintze, J Schossau, C Bohm Genetic programming theory and practice XVI, 17-36, 2019 | 21 | 2019 |
Data standards for artificial life software A Lalejini, E Dolson, C Bohm, AJ Ferguson, DP Parsons, PF Rainford, ... Artificial Life Conference Proceedings, 507-514, 2019 | 8 | 2019 |
MABE 2.0: an introduction to MABE and a road map for the future of MABE development C Bohm, A Lalejini, J Schossau, C Ofria Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 7 | 2019 |
On sexual selection in the presence of multiple costly displays C Bohm, AL Ackles, C Ofria, A Hintze Artificial Life Conference Proceedings, 247-254, 2019 | 7 | 2019 |
Information fragmentation, encryption and information flow in complex biological networks C Bohm, D Kirkpatrick, V Cao, C Adami Entropy 24 (5), 735, 2022 | 6 | 2022 |
Understanding memories of the past in the context of different complex neural network architectures C Bohm, D Kirkpatrick, A Hintze Neural computation 34 (3), 754-780, 2022 | 6 | 2022 |
The comparative hybrid approach to investigate cognition across substrates S Albani, AL Ackles, C Ofria, C Bohm Artificial Life Conference Proceedings 33 2021 (1), 110, 2021 | 5 | 2021 |
Connections between noisy fitness and selection strength VR Ragusa, C Bohm ALIFE 2021: The 2021 Conference on Artificial Life, 2021 | 4 | 2021 |
Augmenting evolution with bio-inspired “super explorers” V Ragusa, C Bohm Artificial Life Conference Proceedings 34 2022 (1), 56, 2022 | 2 | 2022 |
Using the comparative hybrid approach to disentangle the role of substrate choice on the evolution of cognition C Bohm, S Albani, C Ofria, A Ackles Artificial Life 28 (4), 423-439, 2022 | 2 | 2022 |
The effects of social rank and payoff structure on the evolution of group hunting JC Jarvey, P Aminpour, C Bohm Plos one 17 (6), e0269522, 2022 | 1 | 2022 |
Fragmentation; a Tool for Finding Information, Encryption and Data Flow in Systems D Kirkpatrick, V Cao, C Bohm arXiv e-prints, arXiv: 2105.13585, 2021 | 1 | 2021 |
Reduced selection during sweeps lead to adaptive momentum on rugged landscapes C Bohm, VR Ragusa, C Ofria, RE Lenski, C Adami bioRxiv, 2024.04. 08.588357, 2024 | | 2024 |
A Simple Sparsity Function to Promote Evolutionary Search C Bohm, A Hintze, J Schossau Artificial Life Conference Proceedings 35 2023 (1), 53, 2023 | | 2023 |
The Role of Disequilibrium in Evolutionary Discovery VR Ragusa, C Bohm ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life …, 2023 | | 2023 |
The Evolution of Genetic Robustness for Cellular Cooperation in Early Multicellular Organisms KG Skocelas, AJ Ferguson, C Bohm, K Perry, R Adaji, C Ofria Artificial Life Conference Proceedings 34 2022 (1), 52, 2022 | | 2022 |
Tracking data flow in digital brains exposes coincidental encryption D Kirkpatrick, V Cao, C Bohm ALIFE 2021: The 2021 Conference on Artificial Life, 2021 | | 2021 |
Wire Brains: an extension to Wireworld allowing for evolvable digital brains C Bohm, C Reeves, J Schossau | | |